Conveners
Exploiting the EGI Federated clouds - Paas & SaaS workshop
- Diego Scardaci (EGI.eu/INFN)
Andrei Tsaregorodtsev
(CNRS)
11/11/2015, 16:00
Presentation
Multiple scientific communities are using more and more intensive computations to reach their research goals. Various computing resources can be exploited by these communities making it difficult to adapt their applications for different computing infrastructures. Therefore, there is a need for tools for seamless aggregation of different computing and storage resources in a single coherent...
Dr
Marian Bubak
(ACC Cyfronet and Department of Computer Science, AGH University of Science and Technology, Krakow, Poland)
11/11/2015, 16:20
Presentation
The advent of cloud computing offers new opportunities for developers and users of scientific applications [1]. This paper presents results of research on efficient development, federation, execution and sharing of cloud computational services.
We have investigated methods for integration of heterogeneous public cloud infrastructures into a unified computational environment, cost...
Peter Kacsuk
(MTA SZTAKI)
11/11/2015, 16:40
Presentation
Compute-intensive applications such as simulations applied in various research areas and industry require computing infrastructures enabling highly parallel, distributed processing. Grids, clusters, supercomputers and clouds are often used for this purpose. There also exist tools that allow easier design and construction of such complex applications, typically in the form of workflows, which...
Luis Cabellos
(CSIC)
11/11/2015, 17:00
Presentation
Many problems can be addressed in a realistic way with the help of Agent Based Model tools.
However, these tools are sometimes not easy to use for a final user, or are not able to scale up to use the computing resources required by the problem.
We propose to develop a general platform supporting different ABM solutions, and deployed as a service in HPC Cloud resources.
We analyze a first...
Tamas Kiss
(University of Westminster, London, UK)
11/11/2015, 17:20
Presentation
With the rapid increase of data volumes in scientific computations, the importance of utilising parallel and distributed computing paradigms in data processing is becoming more and more important. Hadoop is an open source implementation of the MapReduce framework supporting processing large datasets in parallel and on multiple nodes in a reliable and fault-tolerant manner. Scientific workflow...
Pasquale Pagano
(CNR)
11/11/2015, 17:40
Presentation
Virtual Research Environments (VREs) are innovative, web-based, community-oriented, comprehensive, flexible, and secure working environments conceived to serve the needs of science [3]. They are expected to act like "facilitators" and "enablers" of research activities conducted according to cutting-edge science patterns. They play the role of "facilitators" by providing seamless access to the...
